"""
PIOE Configuration Management
"""
from pydantic_settings import BaseSettings
from functools import lru_cache
from typing import Literal


class Settings(BaseSettings):
    """Application settings loaded from environment variables."""
    
    # AI Configuration
    ai_provider: Literal["gemini", "openai"] = "gemini"
    gemini_api_key: str = ""
    openai_api_key: str = ""
    
    # Reddit API
    reddit_client_id: str = ""
    reddit_client_secret: str = ""
    reddit_user_agent: str = "PIOE/1.0"
    
    # GitHub API
    github_token: str = ""
    
    # ===========================================
    # JOB BOARD APIs (Optional - get free keys)
    # ===========================================
    
    # Adzuna API (Free: 250 req/day)
    # Get at: https://developer.adzuna.com/
    adzuna_app_id: str = ""
    adzuna_api_key: str = ""
    
    # Jooble API (Free tier available)
    # Get at: https://jooble.org/api/about
    jooble_api_key: str = ""
    
    # RapidAPI LinkedIn Jobs (Free: 100 req/month)
    # Get at: https://rapidapi.com/jaypat87/api/linkedin-jobs-search
    rapidapi_key: str = ""
    
    # ===========================================
    # Database
    # ===========================================
    database_url: str = "sqlite:///./pioe.db"
    
    # Ingestion
    ingestion_interval_hours: int = 6
    
    # Scoring Thresholds (lower = more results saved)
    min_relevance_score: float = 0.3  # Lowered from 0.4 for more results
    min_novelty_score: float = 0.3
    min_credibility_score: float = 0.5
    
    # Keywords for relevance scoring
    high_priority_keywords: list[str] = [
        "computer vision", "robotics", "ROS", "PyTorch", "TensorFlow",
        "machine learning", "deep learning", "neural network",
        "internship", "fellowship", "scholarship", "grant", "funding",
        "hackathon", "competition", "challenge", "bounty",
        "research assistant", "PhD", "postdoc", "hiring",
        "early-stage", "seed", "Series A", "startup",
        "AI", "artificial intelligence", "data science", "NLP"
    ]
    
    class Config:
        env_file = ".env"
        env_file_encoding = "utf-8"
        extra = "ignore"


@lru_cache
def get_settings() -> Settings:
    """Get cached settings instance."""
    return Settings()